Science & Engineering Research Support soCiety (SERSC)
The accurate indoor localization is a challenging task due to the absence of GPS (Global Positioning System). Among numerous proposals, WiFi fingerprint-based localization is one of the most promising approach, since most buildings are now-a-days equipped with WiFi access points for wireless network coverage. Due to the nature of WiFi access points in which any user can deploy and manage their own, fingerprints from some access points lead to estimation errors. Location estimation algorithms should consider these factors and be able to locate users with low error distance.